Anthropic to Rewrite Draft AI Safety Legislation
The company intends to revise proposed federal AI regulations after circulating a draft bill on Capitol Hill.
Updated on Oct. 20, 2026 in Artificial Intelligence
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Anthropic is preparing a revised version of its draft AI safety bill after criticism regarding its preemption language. The original text would have allowed the Commerce Department to petition a federal court to block AI models based on specific harm thresholds.
Why it matters
The company stated that its initial phrasing on preempting state AI laws was not precise enough, necessitating updates to the legislative proposal. This draft is part of the ongoing policy discussion surrounding federal oversight of high-risk artificial intelligence systems.
The draft proposed a $1 billion damage threshold or 50 deaths or injuries to trigger government action. It also introduced a 72-hour deadline for companies to report imminent risks associated with AI models.
The players
Anthropic
This is an artificial intelligence research and safety company based in the United States.
Anthony Cimino
He is an executive representing the company who communicated the legislative update.
Commerce Department
This is a federal executive department that would handle AI model oversight under the proposed bill.
The details
The draft bill allows the Commerce Department to petition a federal court to block AI models deemed dangerous. It also outlines a system where independent evaluators must register with the government to monitor these systems.
Timeline
July 2026: The FRONTIER Act was introduced in Congress.
October 16, 2026: Politico published the confidential draft bill.
October 17, 2026: Anthony Cimino announced the bill would be updated on social media.
The Tech Race
This effort represents a significant step in the broader industry struggle to codify safety standards while maintaining innovation. It reflects how tech firms are increasingly attempting to shape federal frameworks to replace a fragmented patchwork of state AI laws.
The proposed regulations could affect how developers deploy new AI tools by mandating stricter safety reporting and potential judicial oversight. Users may eventually see shifts in which AI models are legally available if federal safety thresholds are enforced.
The takeaway
The move highlights how private companies are attempting to influence federal AI standards as the regulatory environment becomes more complex. Stakeholders should track future proposals regarding independent model evaluation to understand potential compliance requirements.
Further reading
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Should federal AI safety laws take precedence over stricter state-level regulations?
